Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Sonja Zehetmayer

Showing results (1-10 of 97) with videos related to

Pageof 10
Sort By:
BMC Bioinformatics|May 8, 2012
False discovery rate control in two-stage designsSonja Zehetmayer, Martin Posch
Bioinformatics (Oxford, England)|March 2, 2010
Post hoc power estimation in large-scale multiple testing problemsSonja Zehetmayer, Martin Posch
Trials|October 26, 2021
Study protocol for a randomised controlled trial to evaluate the effectiveness of a serious game targeting interpersonal emotion regulation in early adolescentsGloria Mittmann, Sonja Zehetmayer, Beate Schrank
BMC Bioinformatics|September 24, 2022
Impact of adaptive filtering on power and false discovery rate in RNA-seq experimentsSonja Zehetmayer, Martin Posch, Alexandra Graf
Respiration; International Review of Thoracic Diseases|July 30, 2023
Women in Interventional Pulmonology: Results from a Worldwide SurveyJudith Brock, Sonja Zehetmayer, Daniela Gompelmann
Statistics in Medicine|April 30, 2008
Optimized multi-stage designs controlling the false discovery or the family-wise error rateSonja Zehetmayer, Peter Bauer, Martin Posch
Statistical Methods in Medical Research|April 12, 2018
An omnibus test for the global null hypothesisAndreas Futschik, Thomas Taus, Sonja Zehetmayer
Scandinavian Journal of Primary Health Care|July 11, 2008
Bacterial superinfection in upper respiratory tract infections estimated by increases in CRP values: a diagnostic follow-up in primary careHeide Lingard, Sonja Zehetmayer, Manfred Maier
Statistical Methods in Medical Research|October 3, 2022
Online control of the False Discovery Rate in group-sequential platform trialsSonja Zehetmayer, Martin Posch, Franz Koenig
Bioinformatics (Oxford, England)|August 11, 2005
Two-stage designs for experiments with a large number of hypothesesSonja Zehetmayer, Peter Bauer, Martin Posch
Pageof 10

Showing results (1-10 of 97) with videos related to

Sort By:
Pageof 10
BMC Bioinformatics|May 8, 2012
False discovery rate control in two-stage designsSonja Zehetmayer, Martin Posch
Bioinformatics (Oxford, England)|March 2, 2010
Post hoc power estimation in large-scale multiple testing problemsSonja Zehetmayer, Martin Posch
Trials|October 26, 2021
Study protocol for a randomised controlled trial to evaluate the effectiveness of a serious game targeting interpersonal emotion regulation in early adolescentsGloria Mittmann, Sonja Zehetmayer, Beate Schrank
BMC Bioinformatics|September 24, 2022
Impact of adaptive filtering on power and false discovery rate in RNA-seq experimentsSonja Zehetmayer, Martin Posch, Alexandra Graf
Respiration; International Review of Thoracic Diseases|July 30, 2023
Women in Interventional Pulmonology: Results from a Worldwide SurveyJudith Brock, Sonja Zehetmayer, Daniela Gompelmann
Statistics in Medicine|April 30, 2008
Optimized multi-stage designs controlling the false discovery or the family-wise error rateSonja Zehetmayer, Peter Bauer, Martin Posch
Statistical Methods in Medical Research|April 12, 2018
An omnibus test for the global null hypothesisAndreas Futschik, Thomas Taus, Sonja Zehetmayer
Scandinavian Journal of Primary Health Care|July 11, 2008
Bacterial superinfection in upper respiratory tract infections estimated by increases in CRP values: a diagnostic follow-up in primary careHeide Lingard, Sonja Zehetmayer, Manfred Maier
Statistical Methods in Medical Research|October 3, 2022
Online control of the False Discovery Rate in group-sequential platform trialsSonja Zehetmayer, Martin Posch, Franz Koenig
Bioinformatics (Oxford, England)|August 11, 2005
Two-stage designs for experiments with a large number of hypothesesSonja Zehetmayer, Peter Bauer, Martin Posch
Pageof 10